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Record W2613925354 · doi:10.5489/cuaj.4586

CUA guideline on adult overactive bladder

2017· article· en· W2613925354 on OpenAlexaffvenueabout
Jacques Corcos, Mikołaj Przydacz, Lysanne Campeau, Gary J. Gray, Duane Hickling, Christiane Honeine, Sidney B. Radomski, Lynn Stothers, Adrian Wagg

Bibliographic record

VenueCanadian Urological Association Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoUniversity Health NetworkToronto Western HospitalOttawa HospitalMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsOveractive bladderGuidelineOxybutyninMedicineNeuromodulationIntensive care medicineAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

The overactive bladder (OAB) picture has dramatically changed in the last 20 years. A quarter century ago, this symptom complex did not even exist. Bladder hyperactivity and urgency incontinence were separate entities poorly understood and treated only with the first-generation anti-muscarinic medications, propantheline and oxybutynin. Only in early 2000 came the concept of this syndrome made of four intimately linked symptoms that we today call OAB. With this concept, new pharmacological agents were launched. These new agents may have not dramatically improved symptoms in comparison with older agents, but undeniably have a more tolerable side effect profile, leading to better compliance and adherence. Neuromodulation was introduced a few years later, giving hope to the worst OAB cases, but with a limited applicability due to its cost. A real revolution occurred around 2010 with the demonstration of onabotulinumtoxinA’s efficacy in controlling the symptoms of OAB. Several years passed before it proved its place in the treatment algorithm for OAB. It is definitely time for the Canadian Urological Association (CUA) to produce guidelines to help Canadian urologists better integrate a sequence of investigation, diagnosis, and treatment, which has become more complex over the years. To do so, the CUA gave a group of experts, Canadian physicians and nurses, the difficult task of putting together a comprehensive document to guide all interested professionals in the management of this interesting and common syndrome, which has so much impact on our patients’ quality of life. An executive summary of the CUA guideline on OAB is available as an Appendix at www.cuaj.ca.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0250.021

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.322
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations154
Published2017
Admission routes3
Has abstractyes

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